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Lingqiao Liu

Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection


Jun 03, 2021
Yingjie Zhou, Xucheng Song, Yanru Zhang, Fanxing Liu, Ce Zhu, Lingqiao Liu

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* 12pages,4 figures, accepted by 2021 IEEE Transactions on Neural Networks and Learning Systems 
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CAT: Cross-Attention Transformer for One-Shot Object Detection


Apr 30, 2021
Weidong Lin, Yuyan Deng, Yang Gao, Ning Wang, Jinghao Zhou, Lingqiao Liu, Lei Zhang, Peng Wang

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* 7 pages, 3 figures 
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Center Prediction Loss for Re-identification


Apr 30, 2021
Lu Yang, Yunlong Wang, Lingqiao Liu, Peng Wang, Lu Chi, Zehuan Yuan, Changhu Wang, Yanning Zhang

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Pluggable Weakly-Supervised Cross-View Learning for Accurate Vehicle Re-Identification


Mar 09, 2021
Lu Yang, Hongbang Liu, Jinghao Zhou, Lingqiao Liu, Lei Zhang, Peng Wang, Yanning Zhang

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Where to Look and How to Describe: Fashion Image Retrieval with an Attentional Heterogeneous Bilinear Network


Oct 26, 2020
Haibo Su, Peng Wang, Lingqiao Liu, Hui Li, Zhen Li, Yanning Zhang

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* 11 pages, 8 figures 
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Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systems


Oct 22, 2020
Yanjie Gou, Yinjie Lei, Lingqiao Liu

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* Third version of this work; Correct some typos 
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Context-aware Memory Enhanced Transformer for End-to-end Task-Oriented Dialogue Systems


Oct 20, 2020
Yanjie Gou, Yinjie Lei, Lingqiao Liu

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* Second version of this work; Slightly modify our method; Add the ablation study and error analysis; Correct some typos 
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Dynamic Memory Enhanced Transformer for End-to-end Task-Oriented Dialogue System


Oct 12, 2020
Yanjie Gou, Yinjie Lei, Lingqiao Liu

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* First version of this work 
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Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks


Jul 07, 2020
Yan Liu, Lingqiao Liu, Peng Wang, Pingping Zhang, Yinjie Lei

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* To be appeared at ECCV 2020 
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Towards Using Count-level Weak Supervision for Crowd Counting


Feb 29, 2020
Yinjie Lei, Yan Liu, Pingping Zhang, Lingqiao Liu

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Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning


Feb 11, 2020
Haokui Zhang, Yu Liu, Bei Fang, Ying Li, Lingqiao Liu, Ian Reid

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* 8 pages 
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Semi-supervised Learning via Conditional Rotation Angle Estimation


Jan 09, 2020
Hai-Ming Xu, Lingqiao Liu, Dong Gong

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Improving Distant Supervised Relation Extraction by Dynamic Neural Network


Dec 13, 2019
Yanjie Gou, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Xi Peng

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* 29 pages, 8 figures 
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To Balance or Not to Balance: An Embarrassingly Simple Approach for Learning with Long-Tailed Distributions


Dec 10, 2019
Junjie Zhang, Lingqiao Liu, Peng Wang, Chunhua Shen

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DNNRE: A Dynamic Neural Network for Distant Supervised Relation Extraction


Nov 15, 2019
Yanjie Gou, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Jingyi Zhang, Xi Peng

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* 9 pages, 4 figures 
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Creating Auxiliary Representations from Charge Definitions for Criminal Charge Prediction


Nov 12, 2019
Liangyi Kang, Jie Liu, Lingqiao Liu, Qinfeng Shi, Dan Ye

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* 8 pages, 5figures 
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Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation


Sep 28, 2019
Yu Liu, Lingqiao Liu, Haokui Zhang, Hamid Rezatofighi, Ian Reid

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* 9 pages 
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Structured Binary Neural Networks for Image Recognition


Sep 22, 2019
Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian Reid

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* 15 pages. Extended version of the conference version arXiv:1811.10413 
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In defense of OSVOS


Aug 20, 2019
Yu Liu, Yutong Dai, Anh-Dzung Doan, Lingqiao Liu, Ian Reid

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Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations


Aug 10, 2019
Bohan Zhuang, Jing Liu, Mingkui Tan, Lingqiao Liu, Ian Reid, Chunhua Shen

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* 12 pages. Extended version of B. Zhuang, C. Shen, M. Tan, L. Liu, and I. Reid, 'Towards effective low-bitwidth convolutional neural networks,' in Proc. IEEE Conf. Comp. Vis. Patt. Recogn., 2018. arXiv admin note: text overlap with arXiv:1711.00205 
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V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices


Jul 29, 2019
Damien Teney, Peng Wang, Jiewei Cao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel

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Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection


Apr 04, 2019
Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel

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Training Quantized Network with Auxiliary Gradient Module


Mar 27, 2019
Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian Reid

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A Sketch Based 3D Shape Retrieval Approach Based on Efficient Deep Point-to-Subspace Metric Learning


Mar 13, 2019
Yinjie Lei, Ziqin Zhou, Pingping Zhang, Yulan Guo, Zijun Ma, Lingqiao Liu

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* The first author wants to withdraw this paper. He has noticed several setting errors in experiment parts 
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RPC: A Large-Scale Retail Product Checkout Dataset


Jan 22, 2019
Xiu-Shen Wei, Quan Cui, Lei Yang, Peng Wang, Lingqiao Liu

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* Project page: https://rpc-dataset.github.io/ 
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Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes


Jan 12, 2019
Yu Liu, Lingqiao Liu, Hamid Rezatofighi, Thanh-Toan Do, Qinfeng Shi, Ian Reid

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* 12 pages 
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Mask-aware networks for crowd counting


Dec 18, 2018
Shengqin Jiang, Xiaobo Lu, Yinjie Lei, Lingqiao Liu

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Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification


Dec 11, 2018
Xiu-Shen Wei, Chen-Lin Zhang, Lingqiao Liu, Chunhua Shen, Jianxin Wu

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* ACCV 2018 
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Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation


Nov 27, 2018
Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian Reid

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* arXiv admin note: text overlap with arXiv:1808.02631 
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